Data Science Consultant -Machine Learning, Advanced Analytics, Python, SQL
Full Job Posting
What you'll do
- Select features, build, evaluate, and optimize classifiers using advanced machine-learning techniques.
- Conduct data mining using state-of-the-art methods, frameworks, and tools.
- Integrate third-party data sources to enhance company datasets when required.
- Refine data-collection procedures to ensure relevant, reliable information is available for analytical systems.
- Process, cleanse, transform, and verify the integrity of data used for analysis.
- Perform ad hoc analysis and present findings clearly to technical and business stakeholders.
- Address customer concerns related to forecasting issues and data quality, and build reusable utilities for forecasting checks and validation.
- Write maintainable scripts and analytical code, and support API-based and workflow integrations where applicable.
- Mentor junior team members, provide technical guidance, and contribute to team capability development.
- Collaborate with implementation, product, support, and customer teams to deliver effective onboarding and ongoing support.
- What we are looking for
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Operations Research, or a related discipline, with a focus on data science or analytics.
- 5-7 years of relevant experience in data science, machine learning, advanced analytics, or a closely related field.
- Solid understanding of machine-learning algorithms, including Linear Regression, K-Means Clustering, and Naive Bayes.
- Proficiency in data-science toolkits such as Python, NumPy, Pandas, Matplotlib, and Seaborn, with strong hands-on expertise in at least two.
- Experience with supply-chain concepts and statistical analysis.
- Knowledge of operations research concepts, including integer, linear, and stochastic programming.
- Solid grounding in applied statistics, including probability distributions, hypothesis testing, and regression analysis.
- Proficiency in query technologies such as SQL and Snowflake, or Python-based SQL wrappers.
- Familiarity with data-visualization and application tools such as Streamlit and Power BI.
- Strong scripting and programming capability, with a data-driven mindset and close attention to detail.
- Strong critical thinking, operational thinking, communication, leadership, and stakeholder-management skills.
- Ability to work effectively in a global environment and mentor junior team members.
- Our Values
- If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Qualifications
- Experience with supply-chain concepts and statistical analysis.
- Familiarity with data-visualization and application tools such as Streamlit and Power BI.
About Blue Yonder
AI-driven supply chain management and retail software provider.
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